A novel food volume measurement technique is
proposed in this paper for accurate quantification of the daily
dietary intake of the user. The technique is based on simul-
taneous localisation and mapping (SLAM), a modified version
of convex hull algorithm, and a 3D mesh object reconstruction
technique. This paper explores the feasibility of applying SLAM
techniques for continuous food volume measurement with a
monocular wearable camera. A sparse map will be generated
by SLAM after capturing the images of the food item with
the camera and the multiple convex hull algorithm is applied
to form a 3D mesh object. The volume of the target object
can then be computed based on the mesh object. Compared
to previous volume measurement techniques, the proposed
method can measure the food volume continuously with no prior
information such as pre-defined food shape model. Experiments
have been carried out to evaluate this new technique and
showed the feasibility and accuracy of the proposed algorithm
in measuring food volume.